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Record W3167126942 · doi:10.1051/0004-6361/202140917

Luminous efficiency of meteors derived from ablation model after assessment of its range of validity

2021· article· en· W3167126942 on OpenAlexaff
Esther Drolshagen, T. Ott, D. Koschny, G. Drolshagen, Jérémie Vaubaillon, F. Colas, B. Zanda, Sylvain Bouley, Simon Jeanne, Adrien Malgoyre, Mirel Birlan, Pierre Vernazza, D. Gardiol, Dan Alin Nedelcu, James B. Rowe, M. Forcier, J. M. Trigo‐Rodríguez, Eloy Peña‐Asensio, H. Lamy, L. Ferrière, D. Barghini, A. Carbognani, M. Di Martino, S. Rasetti, G. B. Valsecchi, A. Volpicelli, Matteo Di Carlo, C. Knapic, Giovanni Pratesi, Walter Riva, G. M. Stirpe, Sonia Zorba, Olivier Hernandez, A. Grandchamps, E. Jehin, M. Jobin, A. J. King, A. Sánchez‐Lavega, Andrea De Toni, Albert Rimola, Björn Poppe

Bibliographic record

VenueAstronomy and Astrophysics · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstro and Planetary Science
Canadian institutionsRio Tinto (Canada)Espace pour la vie
FundersIntegrated Electronics Engineering Center, Binghamton UniversityIstituto Nazionale di AstrofisicaCentre National de la Recherche ScientifiqueAgencia Estatal de InvestigaciónEuropean Space AgencyAgence Nationale de la RechercheCentre National d’Etudes SpatialesObservatoire de Paris, Université de Recherche Paris Sciences et LettresMuséum National d'Histoire NaturelleCarl von Ossietzky Universität Oldenburg
KeywordsMeteoroidLuminous efficacyMeteor (satellite)PhysicsContext (archaeology)Range (aeronautics)AstrophysicsAstronomyAerospace engineeringGeologyMaterials science

Abstract

fetched live from OpenAlex

Context. The luminous efficiency, τ , can be used to compute the pre-atmospheric masses of meteoroids from corresponding recorded meteor brightnesses. The derivation of the luminous efficiency is non-trivial and is subject to biases and model assumptions. This has led to greatly varying results in the last decades of studies. Aims. The present paper aims to investigate how a reduction in various observational biases can be achieved to derive (more) reliable values for the luminous efficiency. Methods. A total of 281 meteors observed by the Fireball Recovery and InterPlanetary Observation Network (FRIPON) are studied. The luminous efficiencies of the events are computed using an ablation-based model. The relations of τ as a function of the pre-atmospheric meteoroid velocity, v e , and mass, M e , are studied. Various aspects that could render the method less valid, cause inaccuracies, or bias the results are investigated. On this basis, the best suitable meteors were selected for luminous efficiency computations. Results. The presented analysis shows the limits of the used method. The most influential characteristics that are necessary for reliable results for the τ computation were identified. We study the dependence of τ on the assumed meteoroid’s density, ρ , and include improved ρ -values for objects with identified meteoroid stream association. Based on the discovered individual biases and constraints we create a pre-debiased subset of 54 well-recorded events with a relative velocity change >80%, a final height <70 km, and a Knudsen number Kn < 0.01; this last value indicates that the events were observed in the continuum-flow regime. We find τ -values in the range between 0.012% and 1.1% for this pre-debiased subset and relations of τ to v e and M e of: τ =7.33⋅ v e −1.10 and τ =0.28⋅ M e −0.33 . Conclusions. The derived luminous efficiency of meteoroids depends on the assumed material density. Our results indicate that the applied debiasing method improves the analysis of τ from decelerated meteoroids. The underlying method is only valid for meteors in the continuum-flow regime. These events tend to have low end heights, large masses, and high deceleration.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.289
Threshold uncertainty score0.642

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.228
Teacher spread0.213 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2021
Admission routes1
Has abstractyes

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